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$push(累加器运算符)

$push

$push返回一个大量,其中包含将表达式应用于文档所产生的所有值。

$push 可在以下阶段使用:

$push 事务语法:

{ $push: <expression> }

有关表达式的更多信息,请参阅表达式。

在$push $group阶段使用 时,进入管道的文档顺序决定了文档在输出大量中的顺序。为保证定义的顺序,$group 管道阶段应位于$sort 阶段之后。

请考虑包含以下文档的 sales 集合:

db.sales.insertMany( [
{ _id : 1, "item" : "abc", "price" : 10, "quantity" : 2, "date" : ISODate("2014-01-01T08:00:00Z") },
{ _id : 2, "item" : "jkl", "price" : 20, "quantity" : 1, "date" : ISODate("2014-02-03T09:00:00Z") },
{ _id : 3, "item" : "xyz", "price" : 5, "quantity" : 5, "date" : ISODate("2014-02-03T09:05:00Z") },
{ _id : 4, "item" : "abc", "price" : 10, "quantity" : 10, "date" : ISODate("2014-02-15T08:00:00Z") },
{ _id : 5, "item" : "xyz", "price" : 5, "quantity" : 10, "date" : ISODate("2014-02-15T09:05:00Z") },
{ _id : 6, "item" : "xyz", "price" : 5, "quantity" : 5, "date" : ISODate("2014-02-15T12:05:10Z") },
{ _id : 7, "item" : "xyz", "price" : 5, "quantity" : 10, "date" : ISODate("2014-02-15T14:12:12Z") }
] )

按date 字段的日期和年份对文档进行分组,以下操作使用$push 累加器计算群组的商品清单和销售数量:

db.sales.aggregate(
[
{ $sort: { date: 1, item: 1 } },
{
$group:
{
_id: { day: { $dayOfYear: "$date"}, year: { $year: "$date" } },
itemsSold: { $push: { item: "$item", quantity: "$quantity" } }
}
}
]
)

操作返回以下结果:

{
"_id" : { "day" : 46, "year" : 2014 },
"itemsSold" : [
{ "item" : "abc", "quantity" : 10 },
{ "item" : "xyz", "quantity" : 10 },
{ "item" : "xyz", "quantity" : 5 },
{ "item" : "xyz", "quantity" : 10 }
]
}
{
"_id" : { "day" : 34, "year" : 2014 },
"itemsSold" : [
{ "item" : "jkl", "quantity" : 1 },
{ "item" : "xyz", "quantity" : 5 }
]
}
{
"_id" : { "day" : 1, "year" : 2014 },
"itemsSold" : [ { "item" : "abc", "quantity" : 2 } ]
}

版本 5.0 中的新增功能。

创建cakeSales集合,其中包含加利福尼亚州 ( CA ) 和华盛顿州 ( WA ) 的蛋糕销售情况:

db.cakeSales.insertMany( [
{ _id: 0, type: "chocolate", orderDate: new Date("2020-05-18T14:10:30Z"),
state: "CA", price: 13, quantity: 120 },
{ _id: 1, type: "chocolate", orderDate: new Date("2021-03-20T11:30:05Z"),
state: "WA", price: 14, quantity: 140 },
{ _id: 2, type: "vanilla", orderDate: new Date("2021-01-11T06:31:15Z"),
state: "CA", price: 12, quantity: 145 },
{ _id: 3, type: "vanilla", orderDate: new Date("2020-02-08T13:13:23Z"),
state: "WA", price: 13, quantity: 104 },
{ _id: 4, type: "strawberry", orderDate: new Date("2019-05-18T16:09:01Z"),
state: "CA", price: 41, quantity: 162 },
{ _id: 5, type: "strawberry", orderDate: new Date("2019-01-08T06:12:03Z"),
state: "WA", price: 43, quantity: 134 }
] )

此示例在$push $setWindowFields阶段使用quantity 来输出每个 的蛋糕销售state 值的大量:

db.cakeSales.aggregate( [
{
$setWindowFields: {
partitionBy: "$state",
sortBy: { orderDate: 1 },
output: {
quantitiesForState: {
$push: "$quantity",
window: {
documents: [ "unbounded", "current" ]
}
}
}
}
}
] )

在示例中:

  • partitionBy: "$state" 按 state 对集合中的文档分区。CA 和 WA 都有分区。

  • sortBy: { orderDate: 1 } 按 orderDate 以升序 (1) 对每个分区中的文档进行排序,因此最早的 orderDate 位于最前面。

  • output 使用quantity $push为文档窗口中的文档设置 值的大量。

    该窗口包含介于 unbounded下限和输出中current 文档之间的文档。这意味着$push 会将quantity 值附加到分区开头和当前文档之间文档的quantitiesForState 大量。

在此输出中,CA 和 WA 的 quantity 值数组显示在 quantitiesForState 数组中:

{ "_id" : 4, "type" : "strawberry", "orderDate" : ISODate("2019-05-18T16:09:01Z"),
"state" : "CA", "price" : 41, "quantity" : 162, "quantitiesForState" : [ 162 ] }
{ "_id" : 0, "type" : "chocolate", "orderDate" : ISODate("2020-05-18T14:10:30Z"),
"state" : "CA", "price" : 13, "quantity" : 120, "quantitiesForState" : [ 162, 120 ] }
{ "_id" : 2, "type" : "vanilla", "orderDate" : ISODate("2021-01-11T06:31:15Z"),
"state" : "CA", "price" : 12, "quantity" : 145, "quantitiesForState" : [ 162, 120, 145 ] }
{ "_id" : 5, "type" : "strawberry", "orderDate" : ISODate("2019-01-08T06:12:03Z"),
"state" : "WA", "price" : 43, "quantity" : 134, "quantitiesForState" : [ 134 ] }
{ "_id" : 3, "type" : "vanilla", "orderDate" : ISODate("2020-02-08T13:13:23Z"),
"state" : "WA", "price" : 13, "quantity" : 104, "quantitiesForState" : [ 134, 104 ] }
{ "_id" : 1, "type" : "chocolate", "orderDate" : ISODate("2021-03-20T11:30:05Z"),
"state" : "WA", "price" : 14, "quantity" : 140, "quantitiesForState" : [ 134, 104, 140 ] }
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